# data[].attributes.body
Forty-five years old

Truck driver for a local lumberyard

Catholic

# data[].attributes.headline
Juror #3- was on a murder juror and the defendant was acquitted

# data[].attributes.subject
Juror #3- was on a murder juror and the defendant was acquitted

# data[].attributes.body
Recovering alcoholic

# data[].attributes.body
Has been given two sobriety test

# data[].attributes.headline
Juror #10- Served on prior jury case finding for the plaintiff who was injured in a car accident

# data[].attributes.subject
Juror #10- Served on prior jury case finding for the plaintiff who was injured in a car accident

# data[].attributes.headline
Juror #4- was on 2 traffic courts and both times finding for the defendant 

# data[].attributes.subject
Juror #4- was on 2 traffic courts and both times finding for the defendant 

# data[].attributes.headline
Juror #11- Husband is a state criminal court judge. Also served on prior jury case and found for plaintiff 

# data[].attributes.subject
Juror #11- Husband is a state criminal court judge. Also served on prior jury case and found for plaintiff 

# data[].attributes.headline
Juror #12- is younger so he would have more sympathy and is more understanding. Was turned down for the police academy 

# data[].attributes.subject
Juror #12- is younger so he would have more sympathy and is more understanding. Was turned down for the police academy 

# data[].attributes.headline
Juror #13- Recently was in an automobile accident that was caused by a drunk driver

# data[].attributes.subject
Juror #13- Recently was in an automobile accident that was caused by a drunk driver

# data[].attributes.headline
Juror #17- Youngest daughter was a victim of a hit and run

# data[].attributes.subject
Juror #17- Youngest daughter was a victim of a hit and run

# data[].attributes.body
Is a criminal defense attorney

# data[].attributes.headline
Juror #18- Was injured in a traffic accident and sued the driver last year

# data[].attributes.subject
Juror #18- Was injured in a traffic accident and sued the driver last year

# data[].attributes.headline
Juror #14- He has 2 teenagers so he understands bad decision making and will be more sympathetic. He sponsors Al-Anon chapter for teens.

# data[].attributes.subject
Juror #14- He has 2 teenagers so he understands bad decision making and will be more sympathetic. He sponsors Al-Anon chapter for teens.

# data[].attributes.headline
Juror #19- Fiance scheduled to join the police force after just graduating police academy

# data[].attributes.subject
Juror #19- Fiance scheduled to join the police force after just graduating police academy

# data[].attributes.headline
Juror #21- Recently held hostage by a robber at a gas station and was rescued by police

# data[].attributes.subject
Juror #21- Recently held hostage by a robber at a gas station and was rescued by police

# data[].attributes.headline
Juror #23- Served on a jury before and the defendant was convicted

# data[].attributes.subject
Juror #23- Served on a jury before and the defendant was convicted

# data[].attributes.headline
Juror #27- President of local MADD chapter 

# data[].attributes.subject
Juror #27- President of local MADD chapter 

# data[].attributes.headline
Juror #16- He served on 2 prior juries and both of which found for the defense

# data[].attributes.subject
Juror #16- He served on 2 prior juries and both of which found for the defense

# data[].attributes.body
Works at a fast food restaurant witch is close to a local high school and enjoys being around teenagers. -may be more sympathetic to the driver.

# data[].attributes.headline
Juror #6- served on a jury for DWI case and the defendant was convicted

# data[].attributes.subject
Juror #6- served on a jury for DWI case and the defendant was convicted

# data[].attributes.headline
Juror #28 he was convicted of possession of marijuana in college so he will understand and have sympathy

# data[].attributes.subject
Juror #28 he was convicted of possession of marijuana in college so he will understand and have sympathy

# data[].attributes.body
Given multiple sobriety tests but never charged so he may understand where the driver is coming from.

# data[].attributes.body
Has children so may understand where the driver is coming from because he is a teen.

# data[].attributes.headline
Juror #3 - Mother a plastic surgeon, defendant was acquitted

# data[].attributes.subject
Juror #3 - Mother a plastic surgeon, defendant was acquitted

# data[].attributes.body
Sixty-four years old

Retired physician

Methodist

# data[].attributes.body
Forty-six years old

Dentist

Methodist

# data[].attributes.body
Forty-one years old

Works in information technology

Methodist

# data[].attributes.body
Twenty-eight years old

Criminal defense attorney

# data[].attributes.body
Thirty-four years old

Investment banker

Presbyterian

# data[].attributes.body
Twenty-one years old

Stocking clerk for a supermarket

Catholic

# data[].attributes.body
Thirty-nine years old

Used car salesman

Greek Orthodox

Divorced

# data[].attributes.body
Because she is well-dressed and has a successful appearance and is a female.

# data[].attributes.body
Fifty-five years old

Currently unemployed but was in the technology field

Episcopalian

Divorced

# data[].attributes.headline
Juror #16 - Served on civil juries that found for the defense

# data[].attributes.subject
Juror #16 - Served on civil juries that found for the defense

# data[].attributes.body
Forty-nine years old

Mailman

Church of Christ

# data[].attributes.body
She is a female and her mother is a plastic surgeon.

# data[].attributes.body
Thirty-three years old

Semi-professional baseball player

Methodist

Single; father is a physician

Fiancé recently broke their engagement

# data[].attributes.body
Forty-eight years old

Accountant

No religious affiliation

Separated

# data[].attributes.body
Twenty-eight years old

Medical student

Islamic

# data[].attributes.body
Forty years old

Works for the city water department

Pentecostal

# data[].attributes.headline
Juror #15 - Speaker for high school Red Ribbon Day assembly

# data[].attributes.subject
Juror #15 - Speaker for high school Red Ribbon Day assembly

# data[].attributes.body
Because she is a female.

# data[].attributes.headline
Juror #14 - Divorced, Male. Would be sympathetic towards doctor.

# data[].attributes.subject
Juror #14 - Divorced, Male. Would be sympathetic towards doctor.

# data[].attributes.body
She is a college freshman majoring in fashion design and is neatly dressed.

# data[].attributes.headline
Jury #21 - Divorced, Male. Would be sympathetic towards the doctor.

# data[].attributes.subject
Jury #21 - Divorced, Male. Would be sympathetic towards the doctor.

# data[].attributes.body
She is catholic and dresses very well and is attractive.

# data[].attributes.body
She is female and dresses expensively.

# data[].attributes.headline
Juror #27 - Chemotherapy completed recently

# data[].attributes.subject
Juror #27 - Chemotherapy completed recently

# data[].attributes.body
Twenty-eight years old

Professional artist

# data[].attributes.body
His wife is a modeling supervisor for a fashion magazine.

# data[].attributes.body
Because she is a female.

# data[].attributes.body
Twenty-seven years old

Manager of fast-food restaurant

Catholic

# data[].attributes.body
She is a female and a flight attendant meaning that she has to dress well and most likely has to follow dress rules for the airline.

# data[].attributes.body
She is a female who served on a civil jury and she found for the plaintiff and the defendant was convicted.

# data[].attributes.body
She is a female.

# data[].attributes.body
She is a female who has an adult daughter that may have a sense for fashion.